• Utkarsh Upadhyay
• Aishwarya Srivastava
• Ayush Singh
• Anushka Thapliyal

The human body needs nutrients, vitamins and minerals to prevent disease. When the body does not receive adequate nutrients, nutritional deficiencies can arise and cause a number of different health issues. Nutritional issues including dietary excesses or deficits in certain nutrients can lead to chronic illnesses such as diabetes, hypertension, and cardiovascular disease. Deficiencies can affect the heart and cause damage to muscles and neurons. You must therefore eat a healthy diet. A balanced diet provides your body with the nutrition it needs to operate correctly. This project provides the foundation for providing users with suitable nutrition plans. It is a disease-based nutritional guidance system that makes dietary recommendations based on the needs of the product by utilizing information about the user's health. Our approach has the potential to be a helpful tool for both improving nutrition and helping people maintain and improve their health condition. This research work is carried out using Machine learning.

Nutritional deficiencies, Balanced diet, Chronic illnesses, Cardiovascular disease, Dietary recommendations, Disease-based nutritional guidance, Machine learning, Lifestyle and well-being, Healthy diet, Personalized dietary guidance, Diet recommendation systems, Artificial intelligence, Data science, Dietary preferences, Prevention of diet-related diseases, Algorithms, Data sources, Public health, Exercise, General well-being.

"Diet Recommendation System Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.a90-a93, February-2024, Available :http://www.jetir.org/papers/JETIR2402011.pdf

"Diet Recommendation System Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppa90-a93, February-2024, Available at : http://www.jetir.org/papers/JETIR2402011.pdf